Nvidia builds IP licensing empire as rivals adopt NVLink Fusion interconnect

MediaTek latest to partner, with $3.5 billion Nvidia investment in convertible bonds

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By LineZotpaper
Published
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Nvidia is expanding its influence in the AI chip market by licensing its high-speed NVLink Fusion interconnect technology to rival chip designers, including MediaTek, Amazon, Fujitsu, Qualcomm, Arm, and Marvell. The strategy allows these companies to build custom AI accelerators without developing their own scale-up networking, while Nvidia secures licensing fees and ongoing sales of its NVSwitch and other products.

The proliferation of custom AI ASICs, or XPUs, from companies like OpenAI, Meta, and Microsoft raised questions about Nvidia's grip on the AI hardware market. However, Nvidia has invited competitors to license its intellectual property, particularly the NVLink Fusion high-speed interconnect technology.

On Monday, MediaTek became the latest to embrace NVLink Fusion for its fledgling datacenter XPU offering. In exchange, Nvidia invested $3.5 billion in convertible bonds issued by MediaTek. The GPU giant will also continue to license MediaTek's own designs for future DGX and RTX Spark systems.

NVLink Fusion, introduced early last year, started as a commercialized version of Nvidia's inter-GPU interconnect. It offers chip-to-chip connectivity for memory-coherent fabrics and switched fabrics to stitch multiple accelerators into rack-scale chips. The technology has expanded into Nvidia's blanket offering for licensing its semiconductor IP.

Amazon is already using Nvidia's MGX NVL72 reference design for its Trainium3-based racks and will adopt NVLink Fusion for Trainium4, dropping its in-house NeuronLink interconnect. By licensing NVLink Fusion, companies can focus on building competitive accelerators without worrying about scaling in production. Nvidia's MGX rack designs are part of the Open Compute Project, further reducing system design requirements.

Nvidia benefits not only from licensing fees but also from ongoing sales of its products. Initially, licensees were required to pair their XPUs with Nvidia CPUs or use Nvidia GPUs; they also needed NVSwitches for scale-up networking. While Nvidia has softened this stance—Amazon now pairs its own Graviton CPUs with Trainium—it still expects NVSwitch sales and licensing revenue.

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Analysis

Why This Matters

  • Shifts the AI chip competitive landscape: Nvidia retains influence even as hyperscalers build custom chips.
  • Reduces time-to-market for new AI accelerators by leveraging proven networking technology.
  • Could lock partners into Nvidia's ecosystem, raising concerns about long-term flexibility.

Background

Nvidia has dominated the AI GPU market, but the rise of custom XPUs from Amazon, Google, and others threatened its position. NVLink Fusion, originally designed for inter-GPU communication, has been repurposed as a licensing play. The strategy mirrors past IP licensing models (e.g., ARM's) but with Nvidia's own hardware tie-ins.

Key Perspectives

Nvidia: Gains licensing fees and continues selling NVSwitches, maintaining revenue streams even as its GPU sales face competition. Partners (MediaTek, Amazon, etc.): Accelerate their accelerator development and reduce engineering costs by adopting proven networking. Critics: Risk of vendor lock-in; dependence on Nvidia's roadmap could limit innovation and increase costs over time.

What to Watch

  • Adoption by additional chip designers, especially those previously using alternatives like UALink.
  • Nvidia's future licensing terms—whether they continue to require complementary hardware purchases.
  • Development of competitive open interconnects that could weaken NVLink's appeal.

Sources

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Zotpaper

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.